Results 41 to 50 of about 10,836 (207)

Comparing the Latent Features of Universal Machine‐Learning Interatomic Potentials

Advanced Intelligent Systems, EarlyView.
This study quantitatively assesses how universal machine‐learning interatomic potentials encode the chemical space into latent features, showing unique model‐specific representations with high cross‐model reconstruction errors. It explores how training datasets, protocols, and targets affect these encodings.
Sofiia Chorna, Davide Tisi, Cesare Malosso, Wei Bin How, Michele Ceriotti, Sanggyu Chong   +5 more
wiley   +1 more source

Investigation of Hexagonal Honeycomb Topology for Impact Optimization in Energetic Material

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT The regulation of the mechanical properties of energetic materials manufactured by traditional processes is constrained. However, the introduction of lattice structures can facilitate the regulation of mechanical properties without necessitating alterations to the materials themselves. Using finite element analysis and experimental validation,
Xueye Chen, Bin Yang, Linna Zhang, Zhihao Ding, Weitao Yang   +4 more
wiley   +1 more source

Design and Optimization of a Novel Kalina‐Organic Rankine Cycle System Based on LNG Cold Energy Utilization

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This study proposes a novel integrated system (SDKC‐DORC) that combines a split‐flow dual‐pressure Kalina cycle with a secondary organic Rankine cycle for the synergistic utilization of solar energy and liquefied natural gas (LNG) cold energy.
Ke Xiao, Kun Wang, Wenquan Jiang, Fan Yang, Changshun Wang, Chengjie Su, Junjie Liu   +6 more
wiley   +1 more source

Toward Solution‐Time Advantage With Error‐Mitigated Quantum Annealing for Combinatorial Optimization

Advanced Physics Research, EarlyView.
This paper presents a novel error mitigation technique to address the qubit errors that occur when solving combinatorial optimization problems with quantum annealing. The approach significantly speeds up the computation to reach the global optimum solution for a correlated 3D image segmentation model for material microstructures, demonstrating a ...
Yushuang Sam Yang, Peter Tyson, Clement Chu, Anthony Bruce Murphy   +3 more
wiley   +1 more source

T. rex cognition was T. rex‐like—A critical outlook on diverging views of the neurocognitive evolution in dinosaurs

The Anatomical Record, EarlyView.
Abstract A recent debate has emerged between Caspar et al. (2024) and Herculano‐Houzel (2023) on inferring extinct dinosaur cognition by estimating brain neuron counts. While thought‐provoking, the discussion largely overlooks the function of cognition, as well as partly neglects the difficulties involved in estimating neuron numbers, which according ...
Thomas Rejsenhus Jensen, Ivo Jacobs, Kristina Kverková, Lona Lalić, Alexandra Polonyiová, Patrik Stehlík, Stephan A. Reber, Mathias Osvath   +7 more
wiley   +1 more source

The cranial, mandibular, and hyoid anatomy of softshell turtles (Trionychidae): A revised character list for phylogenetic analysis

The Anatomical Record, EarlyView.
Abstract Softshell turtles (Pan‐Trionychidae) are an early branching clade of hidden‐necked turtles (Cryptodira) with a rich fossil record extending back to the Early Cretaceous. The evolutionary history of softshell turtles is still unresolved because of their conservative morphology combined with high levels of polymorphism related to morphological ...
Léa C. Girard, Walter G. Joyce
wiley   +1 more source

Evolutionary radiation of large‐bodied gorgonopsians from the lower Abrahamskraal formation of South Africa

The Anatomical Record, EarlyView.
Abstract The middle Permian represents a critical interval in therapsid evolution, when gorgonopsians emerged as some of the first specialized apex predators within terrestrial ecosystems. Despite their significance, the early diversification of Gorgonopsia in Gondwana remains poorly understood due to scarcity and fragmentary material.
Zanildo Macungo, Ricardo Araújo, Bruce S. Rubidge, Michael O. Day, Kathleen N. Dollman, Julien Benoit   +5 more
wiley   +1 more source

Risk‐aware safe reinforcement learning for control of stochastic linear systems

Asian Journal of Control, EarlyView.
Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili, Nariman Niknejad, Hamidreza Modares   +2 more
wiley   +1 more source

Performance improvement of discrete‐time linear‐quadratic regulators applied to uncertain linear systems using the Tikhonov regularization method

Asian Journal of Control, EarlyView.
Abstract The linear‐quadratic regulator (LQR) problem of optimal control of an uncertain discrete‐time linear system (DTLS) is revisited in this paper from the perspective of Tikhonov regularization. We show that an optimally chosen regularization parameter reduces, compared to the classical LQR, the values of a scalar error function, as well as the ...
Fernando Pazos, Amit Bhaya
wiley   +1 more source

Adaptive Machine Learning Framework for Optimizing the Affinity Purification of Adeno‐Associated Viral Vectors

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Adeno‐associated viral (AAV) vectors for gene therapy are becoming integral to modern medicine, providing therapeutic options for diseases once deemed incurable. Currently, viral vector purification is a critical bottleneck in the gene therapy industry, impacting product efficacy and safety as well as accessibility and cost to patients ...
Kelvin P. Idanwekhai, Shriarjun Shastry, Morgan R. Hurst, Arianna Minzoni, Eduardo Barbieri, Luke Remmler, Eugene N. Muratov, Michael A. Daniele, Stefano Menegatti, Alexander Tropsha   +9 more
wiley   +1 more source