Results 81 to 90 of about 372,023 (309)
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob +2 more
wiley +1 more source
This paper presents the results obtained from a survey among public and private venture capitalists from countries which attract a large amount of venture capital investment: Germany, Switzerland, Austria and Israel.
Sonja Bettina Keppler +2 more
doaj
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Trends in innovation and investment development of high-tech enterprises
The article deals with the main prospects and problems of investing in innovative activities of high-tech enterprises. The principles of construction of venture investment and the mechanism of venture financing of a project when creating technological ...
I. A. Mandych, A. V. Bykova
doaj +1 more source
Recent Developments in the European Private Equity Markets [PDF]
This paper examines market developments in venture capital and buyout investment in Europe and the United States, through the analysis of funds raised, investments and exits.
Catarina Dantas Machado Rosa +1 more
core
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
Asset Ownership and Foreign-Market Entry [PDF]
This paper examines the link between a firm?s owership of productive assets and its choice of foreign-market entry strategy. We find that, controlling for industry- and country-specific characteristics, the most productive firms (i.e., those owning the ...
Raff, Horst +2 more
core +3 more sources
This paper proposes a novel control framework to ensure safety of a robotic swarm. A feedback optimization controller is capable of driving the swarm toward a target density while keeping risk‐zone exposure below a safety threshold. Theory and experiments show how safety is more effectively achieved for sparsely connected swarms.
Longchen Niu, Gennaro Notomista
wiley +1 more source
This review highlights recent advances in integrating biocatalysis and chemocatalysis in continuous flow to create streamlined, sustainable processes. It examines chemo‐enzymatic cascades combining at least one enzymatic and one chemical step, discusses challenges such as enzyme immobilization, leaching, and reactor clogging, and presents solutions ...
Petros Siasiaridis +2 more
wiley +2 more sources

