References
- Suryanarayana, C.; Inoue, A. Bulk Metallic Glasses; CRC Press Taylor & Francis Group: Boca Raton, FL, 2011.
- Lu, Z.; Li, Y.; Ng, S. Reduced glass transition temperature and glass forming ability of bulk glass forming alloys. Journal of Non-Crystalline Solids 2000, 270, 103–114.
- Inoue, A. Stabilization of metallic supercooled liquid and bulk amorphous alloys. Acta Materialia 2000, 48, 279–306.
- Lu, Z.; Liu, C. A new glass-forming ability criterion for bulk metallic glasses. Acta Materialia 2002, 50, 3501–3512.
- Kim, J.-H.; Park, J.S.; Lim, H.K.; Kim, W.T.; Kim, D.H. Heating and cooling rate dependence of the parameters representing the glass forming ability in bulk metallic glasses. Journal of Non-Crystalline Solids 2005, 351, 1433–1440.
- Chen, Q.; et al. A new criterion for evaluating the glass-forming ability of bulk metallic glasses. Materials Science and Engineering: A 2006, 433, 155–160.
- Fan, G.J.; Choo, H.; Liaw, P.K. A new criterion for the glass-forming ability of liquids. Journal of Non-Crystalline Solids 2007, 353, 102–107.
- Lu, Z.P.; Bei, H.; Liu, C.T. Recent progress in quantifying glass-forming ability of bulk metallic glasses. Intermetallics 2007, 15, 618–624.
- Yuan, Z.; Bao, S.; Lu, Y.; Zhang, D.; Yao, L. A new criterion for evaluating the glass-forming ability of bulk glass forming alloys. Journal of Alloys and Compounds 2008, 459, 251–260.
- Long, Z.; et al. A new criterion for predicting the glass-forming ability of bulk metallic glasses. Journal of Alloys and Compounds 2009, 475, 207–219.
- Long, Z.; et al. On the new criterion to assess the glass-forming ability of metallic alloys. Materials Science and Engineering: A 2009, 509, 23–30.
- Suryanarayana, C.; Seki, I.; Inoue, A. A critical analysis of the glass-forming ability of alloys. Journal of Non-Crystalline Solids 2009, 355, 355–360.
- Suo, Z.Y.; et al. A new parameter to evaluate the glass-forming ability of bulk metallic glasses. Materials Science and Engineering: A 2010, 528, 429–433.
- Guo, S.; Liu, C.T. New glass forming ability criterion derived from cooling consideration. Intermetallics 2010, 18, 2065–2068.
- Guo, S.; Lu, Z.P.; Liu, C.T. Identify the best glass forming ability criterion. Intermetallics 2010, 18, 883–888.
- Kozmidis-Petrović, A.F. Sensitivity of the Hruby, Lu–Liu, Fan, Yuan, and Long glass stability parameters to the change of the ratios of characteristic temperatures Tx/Tg and Tm/Tg. Thermochimica Acta 2010, 510, 137–143.
- Kozmidis-Petrović, A.F. Which glass stability criterion is the best? Thermochimica Acta 2011, 523, 116–123.
- Lu, Z.P.; Liu, C.T. A new approach to understanding and measuring glass formation in bulk amorphous materials. Intermetallics 2004, 12, 1035–1043.
- Willy, H.J.; Zhao, L.Z.; Wang, G.; Liu, Z.W. Predictability of bulk metallic glass forming ability using the criteria based on characteristic temperatures of alloys. Physica B: Condensed Matter 2014, 437, 17–23.
- Turnbull, D. Under what conditions can a glass be formed? Contemporary. Physics. 1969, 10, 473–488.
- Tripathi, M.K.; Ganguly, S.; Dey, P.; Chattopadhyay, P.P. Evolution of glass forming ability indicator by genetic programming. Computational Materials Science 2016, 118, 56–65.
- Chattopadhyay, C.; Idury, K.S.N.S.; Bhatt, J.; Mondal, K.; Murty, B.S. Critical evaluation of glass forming ability criteria. Materials Science and Technology 2015, 0, 1–21.
- Dong, W. Glass Forming Ability of Binary Zr-Cu and Ternary Zr-Cu-Al Alloys; National University of Singapore: Singapore, 2008.
- Cheney, J.L. Modeling the Glass Forming Ability of Metals; University of California: San Diego, 2007.
- Egami, T.; Waseda, Y. Atomic size effect on the formability of metallic glasses. Journal of Non-Crystalline Solids 1984, 64, 113–134.
- Egami, T. The atomic structure of aluminum based metallic glasses and universal criterion for glass formation. Journal of Non-Crystalline Solids 1996, 205–207, 575–582.
- Miracle, D.; Sanders, W.; Senkov, O. The influence of efficient atomic packing on the constitution of metallic glasses. Philosophical Magazine 2003, 83, 2409–2428.
- Combinatorial Materials Science; Balaji, N.; Surya K.M.; Marc, D.P., Eds.; John Wiley & Sons: Hoboken, NJ, 2007.
- Cai, A.; Xiong, X.; Liu, Y.; An, W.; Tan, J. Artificial neural network modeling of reduced glass transition temperature of glass forming alloys. Applied Physics Letters 2008, 92, 111909.
- Cai, A.; et al. Artificial neural network modeling for undercooled liquid region of glass forming alloys. Computational Materials Science 2010, 48, 109–114.
- Cai, A.H.; et al. Prediction of critical cooling rate for glass forming alloys by artificial neural network. Materials & Design 2013, 52, 671–676.
- Dulikravich, G.S.; Egorov, I.N.; Colaco, M.J. Optimizing chemistry of bulk metallic glasses for improved thermal stability. Modelling and Simulation in Materials Science and Engineering 2008, 16, 75010.
- Bansal, A.; Barman, A.; Ghosh, S.; Chakraborti, N. Designing Cu-Zr glass using multiobjective genetic algorithm and evolutionary neural network metamodels–based classical molecular dynamics simulation. Materials and Manufacturing Processes 2013, 28.
- Xia, L.; Fang, S.S.; Wang, Q.; Dong, Y.D.; Liu, C.T. Thermodynamic modeling of glass formation in metallic glasses. Applied Physics Letters 2006, 88, 171905.
- Rao, B.S.; Bhatt, J.; Murty, B.S. Identification of compositions with highest glass forming ability in multicomponent systems by thermodynamic and topological approaches. Materials Science and Engineering: A 2007, 449–451, 211–214.
- Bhatt, J.; et al. Optimization of bulk metallic glass forming compositions in Zr–Cu–Al system by thermodynamic modeling. Intermetallics 2007, 15, 716–721.
- Ji, X.; Pan, Y. Predicting alloy compositions of bulk metallic glasses with high glass-forming ability. Materials Science and Engineering: A 2008, 485, 154–159.
- Vincent, S.; Peshwe, D.R.; Murty, B.S.; Bhatt, J. Thermodynamic prediction of bulk metallic glass forming alloys in ternary Zr–Cu–X (X = Ag, Al, Ti, Ga) systems. Journal of Non-Crystalline Solids 2011, 357, 3495–3499.
- Wang, Y.M.; et al. The e/a criterion of Zr-based bulk metallic glasses. Materials Science and Engineering: A 2004, 375–377, 411–416.
- Dong, C.; et al. Composition rules from electron concentration and atomic size factors in Zr-Al-Cu-Ni bulk metallic glasses. Materials Transactions 2004, 45, 1177–1179.
- Zhu, C.L.; Wang, Q.; Wang, Y.M.; Qiang, J.B.; Dong, C. Ni-based B–Fe–Ni–Si–Ta bulk metallic glasses designed using cluster line, minor alloying, and element substitutions. Intermetallics 2010, 18, 791–795.
- Takeuchi, A.; Yubuta, K.; Makino, A.; Inoue, A. Evaluation of glass-forming ability of binary metallic glasses with liquidus temperature, crystallographic data from binary phase diagrams and molecular dynamics simulations. Journal of Alloys and Compounds 2009, 483, 102–106.
- Zhendong, Sha. Atomic Structure and Composition-Structure-Properties Correlations in Metallic Glasses; National University of Singapore: Singapore, 2010.
- Takeuchi, A.; Yavari, A.R.; Inoue, A. Golden mean analysis of bulk metallic glasses with critical diameter over half-inch for their mole fractions of compositions. Intermetallics 2009, 17, 696–703.
- Bian, X.; Guo, J.; Lv, X.; Qin, X.; Wang, C. Prediction of glass-forming ability of metallic liquids. Applied Physics Letters 2007, 91, 221910.
- Xu, D.; Wirth, B.D.; Schroers, J.; Johnson, W.L. Calculating glass-forming ability in absence of key kinetic and thermodynamic parameters. Applied Physics Letters 2010, 97, 24102.
- Zhang, S.G.; Li, J.G. Evaluation of dynamic behaviors of metallic glass-forming liquids by elastic constants. Materials Letters 2012, 75, 179–182.
- Rodrigues, B.P.; Zanotto, E.D. Evaluation of the guided random parameterization method for critical cooling rate calculations. Journal of Non-Crystalline Solids 2012, 358, 2626–2634.
- Déo, L.P.; Mendes, M.A.B.; Costa, A.M.S.; Neto, N.D.C.; Oliveira, M.F.De. Applying a new criterion to predict glass forming alloys in the Zr – Ni – Cu ternary system. Journal of Alloys and Compounds 2013, 553, 212–215.
- Tripathi, M.K.; Chattopadhyay, P.P.; Ganguly, S. Multivariate analysis and classification of bulk metallic glasses using principal component analysis. Computational Materials Science 2015, 107, 79–87.
- Jolliffe, I.T. Principal Component Analysis; Springer Verlag: New York, 2002.
- Somashekhar, K.P.; Ramachandran, N.; Mathew, J. Optimization of material removal rate in micro-EDM using artificial neural network and genetic algorithms. Materials and Manufacturing Processes 2009, 25, 467–475.
- Özel, T.; Karpat, Y. Identification of constitutive material model parameters for high-strain rate metal cutting conditions using evolutionary computational algorithms. Materials and Manufacturing Processes 2007, 22, 659–667.
- Coello Coello, A.C.; Becerra Landa, R. Evolutionary multiobjective optimization in materials science and engineering. Materials and Manufacturing Processes 2009, 24, 119–129.
- Paszkowicz, W. Genetic algorithms, a nature-inspired tool: Survey of applications in materials science and related fields. Materials and Manufacturing Processes 2009, 24.
- Vasudevan, M.; Bhaduri, A.K.; Raj, B.; Rao, K.P. Genetic-algorithm-based computational models for optimizing the process parameters of A-TIG welding to achieve target bead geometry in type 304 L(N) and 316 L(N) stainless steels. Materials and Manufacturing Processes 2007, 22, 641–649.
- Pettersson, F.; Saxén, H.; Deb, K. Genetic algorithm-based multicriteria optimization of ironmaking in the blast furnace. Materials and Manufacturing Processes 2009, 24, 243–349.
- Venkata Rao, R.; Kalyankar, V.D. Parameter optimization of machining processes using a new optimization algorithm. Materials and Manufacturing Processes 2012, 27.
- Giri, B.K.; Pettersson, F.; Saxén, H.; Chakraborti, N. Genetic programming evolved through bi- objective genetic algorithms applied to a blast furnace. Materials and Manufacturing Processes 2013, 28, 776–782.
- Giri, B.K.; et al. Genetic programming through bi-objective genetic algorithms with a study of a simulated moving bed process involving multiple objectives. Applied Soft Computing Journal 2013, 13, 2613–2623.
- Chakraborti, N. Critical assessment 3: The unique contributions of multi-objective evolutionary and genetic algorithms in materials research. Materials Science and Technology 2014, 30, 1259–1262.
- Chakraborti, N. Promise of multiobjective genetic algorithms in coating performance formulation. Surface Engineering 2014, 30, 79–82.
- Brezocnik, M.; Kovacic, M.; Ficko, M. Prediction of surface roughness with genetic programming. Journal of Materials Processing Technology 2004, 157, 28–36.
- Kovačič, M.; Šarler, B. Application of the genetic programming for increasing the soft annealing productivity in steel industry. Materials and Manufacturing Processes 2009, 24, 369–374.
- Dimitriu, R.C.; Bhadeshia, H.K.D.H.; Fillon, C.; Poloni, C. Strength of ferritic steels: neural networks and genetic programming. Materials and Manufacturing Processes 2008, 24, 10–15.
- Senkov, O.; Miracle, D. Effect of the atomic size distribution on glass forming ability of amorphous metallic alloys. Materials Research Bulletin 2001, 36, 2183–2198.
- Gallego, L.J.; Somoza, J.A.; Alonso, J.A. Glass formation in ternary transition metal alloys. Journal of Physics: Condensed Matter 1990, 2, 6245–6250.
- Cyranoski, D. Faculty members in conflict with president of Japanese University. Nature 2011, 470, 446–447.
- Zhang, Q.S.; Zhang, W.; Louzguine-Luzgin, D.V.; Inoue, A. Effect of substituting elements on glass-forming ability of the new Zr48Cu36Al8Ag8 bulk metallic glass-forming alloy. Journal of Alloys and Compounds 2010, 504, S18–S21.
- Suryanarayana, C. Mechanical alloying and milling. Progress in Materials Science 2001, 46, 1–184.
- Wagner, C.N.J.; Boldrick, M.S. The structure of amorphous binary metal-metal alloys prepared by mechanical alloying. Journal of Alloys and Compounds 1993, 194, 295–302.
- Schultz, L. Formation of amorphous metals by mechanical alloying. Materials Science and Engineering 1988, 97, 15–23.
- Dutkiewicz, J.; et al. Metallic glass formation in NiTiZrNbSi alloys by rapid solidification or ball milling and ultra high pressure compaction. Reviews on Advanced Materials Science 2008, 18, 257–263.
- Lee, P.Y.; Liu, W.C.; Lin, C.K.; Huang, J.C. Fabrication of Mg–Y–Cu bulk metallic glass by mechanical alloying and hot consolidation. Materials Science and Engineering: A 2007, 449–451, 1095–1098.