Results 181 to 190 of about 14,904 (239)
Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials
A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang +5 more
wiley +1 more source
Chemical short‐range order (CSRO) plays a central role in governing the behavior of multi‐principal element alloys. This perspective critically assesses computational and experimental approaches for quantifying, characterizing, and validating CSRO, emphasizing modeling–experiment cross‐validation pathways that enable more reliable interpretation of ...
Mohsen Asle Zaeem, Peter K. Liaw
wiley +1 more source
What was really wrong (and right) with vitalism? Methodological naturalism, organicism and immaterialist theories in biology. [PDF]
Boucher SC.
europepmc +1 more source
A three‐tier livestock multi‐omics framework resolves four typical analytical pitfalls. Moving from statistical association through machine learning preprocessing to triple‐modal causal inference, it converts omics results into genomic selection and gene editing strategies to achieve One Health, underpinned by multi‐omics data, multimodal sequencing ...
Jiying Wen +5 more
wiley +1 more source
Reflective analysis on empirical theories in consciousness. [PDF]
Pae H.
europepmc +1 more source
Neuromorphic Devices and Computing for Sensing, Memory, and Control
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu +2 more
wiley +1 more source
A neuroscientific hypothesis on the physical nature of consciousness. [PDF]
Ukachoke C.
europepmc +1 more source
Computationally Evidence‐Grounded Sequence‐First Design of Peptide Binders
BOND‐PEP enables controllable, sequence‐first peptide binder design by grounding generation in binding evidence retrieved for each target. It uses topology‐conditioned message passing to integrate relevant peptide examples with the target protein sequence, forming a residue‐level representation that guides the generation of diverse, target‐specific ...
Wenze Ding
wiley +1 more source
The Mind-Matter Dichotomy: A Persistent Challenge for Neuroscientific and Philosophical Theories. [PDF]
Singer W.
europepmc +1 more source

