Author

S. K. Sinha

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Preprint Sep 2026

Portfolio-Based Constrained Multi-Objective Bayesian Optimization for Materials Design

Materials discovery and design campaigns can be formulated as constrained multi-objective Bayesian optimization (CMOBO) problems, within which each experimental decision negotiates between two coupled but competing goals: discovering feasible candidates and refining the underlying Pareto front. Here we recast acquisiti...

S. Sinha, Christofer Hardcastle, Robert Robinson et al. · 0 citations

#artificial intelligence Preprint Oct 2026

Agentic Resource Allocation for Batch Multi-Objective Bayesian Optimization in Autonomous Materials Discovery

The discovery and development of advanced materials is a challenging process constrained by the high time and monetary costs of synthesis, processing, and characterization. The underlying design spaces can be enormous, often with multiple competing objectives. Bayesian optimization (BO) provides a principled approach f...

Robert Robinson, S. P. Padhy, S. Sinha et al. · 0 citations

Open access Jul 2026

A Thermostable Multifunctional GH5 Endoglucanase From Bacillus sp. for Lignocellulosic Biomass Saccharification

BSEG2 is highly thermostable, tolerant of high salt and ionic liquids, and notably resistant to cellobiose inhibition up to 200 mM, suggesting potential to reduce freshwater demand in biomass processing and a strong candidate for simplified, cost-effective enzyme formulations for glucose production from lignocellulosic...

Debjyoti Ghosh, Aditi Konar, Yi Gao et al. · Biotechnology Journal · 0 citations