Results 171 to 180 of about 193,490 (288)

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

A modular biodevice assembly tool kit for combinatorial screening and benchmarking multiple cell surface display platforms in Escherichia coli. [PDF]

J Biol Eng
Xu X, Choi IG.
europepmc   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

GCAD: A Computational Framework for Mammalian Genetic Program Computer-Aided Design. [PDF]

ACS Synth Biol
Dreyer KS, Nguyen AV, Bora GG, Redus LE, Edelstein HI, Garcia JJ, Anastasia E, Dray KE, Leonard JN, Mangan NM.   +9 more
europepmc   +1 more source

Interactions between Molten High‐Silicon Electrical Steels and Carbon‐Bonded MgO Refractories Based on Recyclates

Advanced Engineering Materials, EarlyView.
This study examines how several molten high‐silicon electrical steels interact with both conventional and recycled MgO–C refractories. For this, various immersion experiments are conducted. In addition to infiltration, a number of mechanisms are identified and explained that control the corrosion of the refractory material.
Lukas Neubert, Matheus Roberto Bellé, Anton Yehorov, Anhelina Mospan, Till M. J. Stadtmüller, Seetharaman Sridhar, Christos G. Aneziris, Olena Volkova   +7 more
wiley   +1 more source

Accelerating a coherent Ising machine by XY-Ising spin transition. [PDF]

Sci Rep
Kim K, Yamamoto Y.
europepmc   +1 more source

Influence of an Argon/Silane Atmosphere on the Temperature of a Thermal Plasma

Advanced Engineering Materials, EarlyView.
The influence of a silane‐doped argon atmosphere on the chemical composition and temperature of a thermal nontransferring argon plasma is investigated using optical emission spectroscopy. As a result of the high amount of free electrons resulting from the stepwise ionization and dissociation of the silane molecule, even a silane addition of 0.01 vol ...
Lena Kreie, David Kramer, Thomas Scheithauer, Hans Jürgen Maier, Thomas Hassel   +4 more
wiley   +1 more source

A General Group Testing Strategy for Discovering Chemical Cooperativity. [PDF]

Angew Chem Int Ed Engl
Pflüger PM, Katzenburg F, Sandfort F, Teders M, Gómez-Suárez A, Standley EA, Hopkinson MN, Daniliuc CG, Heuer A, Glorius F.   +9 more
europepmc   +1 more source

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

Advanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell, Martha Leach, Hongtao Song, Carolyn Seepersad   +3 more
wiley   +1 more source

Mathematical modeling of combinatorial antigen targeting with multiple CAR T-cell products for glioblastoma treatment. [PDF]

NPJ Syst Biol Appl
Li R, Barish M, Gutova M, Feldman LA, Brown CE, Rockne RC, Cho H.   +6 more
europepmc   +1 more source