Whole field curvature and residual stress determination of silicon wafers by reflectometry by Ng, Chi Seng, Asundi, Anand Krishna

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Rapid defect detections of bonded wafer using near infrared polariscope by Asundi, Anand Krishna, Ng, Chi Seng

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Lexical-Semantic Content, Not Syntactic Structure, Is the Main Contributor to ANN-Brain Similarity of fMRI Responses in the Language Network by Kauf, Carina, Tuckute, Greta, Levy, Roger, Andreas, Jacob, Fedorenko, Evelina

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The Language Network Reliably “Tracks” Naturalistic Meaningful Nonverbal Stimuli by Sueoka, Yotaro, Paunov, Alexander, Tanner, Alyx, Blank, Idan A., Ivanova, Anna, Fedorenko, Evelina

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Artificial Neural Network Language Models Predict Human Brain Responses to Language Even After a Developmentally Realistic Amount of Training by Hosseini, Eghbal A., Schrimpf, Martin, Zhang, Yian, Bowman, Samuel, Zaslavsky, Noga, Fedorenko, Evelina

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The cognitive and neural basis of complex decision-making in the primate brain by Ramadan, Mahdi F.

“…In another flavor, very simple tasks are used, which have afforded detailed characterization of behavior and the underlying neurobiology, but are limited in eliciting high-level cognitive strategies. …”
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Conditional disruption of AMP kinase in dopaminergic neurons promotes Parkinson's disease-associated phenotypes in vivo by Hang, Liting, Wang, Ziyin, Foo, Aaron S. C., Goh, Geraldine, Choong, Huey Ching, Thundyil, John, Xu, Shengli, Lam, Kong-Peng, Lim, Kah-Leong

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The habenula clock influences response to a stressor by Basnakova, Adriana, Cheng, Ruey-Kuang, Chia, Joanne Shu Ming, D'Agostino, Giuseppe, Suryadi, Tan, Germaine Jia Hui, Langley, Sarah Raye, Jesuthasan, Suresh

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Characterization of engine liner topography by Maung Pho La Minn.

“…The characterization of engine liner topography has been a topic of considerable research in manufacturing, tribology, surface metrology and auto-mobile engineering for the past 30 years. …”
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Reverse mounting in birds by Villar, DA

“…These include a lack of experimental studies on reverse mounting, as well as a complete lack of any studies on the neurobiology or endocrinology of reverse mounting. We also speculate about the potential evolutionary consequences of reverse mounting, in the context of how other previously overlooked non-reproductive sexual behaviours have been found to have significant evolutionary consequences.…”

Inspection with polarised light by Alasdair Muntz

“…The project investigated the use and limitations of the polariscope equipment used by the university, currently in the Metrology room of the COLE laboratory, in inspection and stress analysis of transparent plastic specimens. …”
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Achieving the multiparameter quantum Cramér-Rao bound with antiunitary symmetry by Wang, B, Zheng, K, Xie, Q, Zhang, A, Xu, L, Zhang, L

“…The estimation of multiple parameters is a ubiquitous requirement in many quantum metrology applications. However, achieving the ultimate precision limit, i.e., the quantum Cramér-Rao bound, becomes challenging in these scenarios compared to single parameter estimation. …”

Patient-derived antibodies reveal the subcellular distribution and heterogeneous interactome of LGI1 by Ramirez-Franco, J, Debreux, K, Extremet, J, Maulet, Y, Belghazi, M, Villard, C, Sangiardi, M, Youssouf, F, El Far, L, Lévêque, C, Debarnot, C, Marchot, P, Paneva, S, Debanne, D, Russier, M, Seagar, M, Irani, SR, El Far, O

“…To investigate whether the cellular and subcellular distribution of LGI1 may explain the localization of these features, and hence gain broader insights into LGI1's neurobiology, we analysed the detailed localization of LGI1 and the diversity of its protein interactome, in mouse brains using patient-derived recombinant monoclonal LGI1 antibodies. …”

Windowed Fourier ridges for demodulation of carrier fringe patterns with nonlinearity : a theoretical analysis by Agarwal, Nimisha, Wang, Chenxing, Qian, Kemao

“…Accurately extracting phase or phase derivative is the most important requirement in optical metrology. However, in practice, there are many error sources, among which nonlinear distortion in fringe patterns is often encountered. …”
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On the use of physics in machine learning for manufacturing process inspection by Barbastathis, George, Zhang, Qihang, Pandit, Ajinkya, Tang, Wenlong, Papageorgiou, Charles, Braatz, Richard, Myerson, Allan S, Tan, Bingyao, Schmetterer, Leopold

“…SPIE Optical Metrology, 2023, Munich, Germany…”
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Optical differentiators and integrators : recent advances and applications, and enormous potential applications by Ngo, Nam Quoc

“…The existing applications of ODs include ultrawideband communications (UWB), optical metrology, dispersion-managed soliton pulse generation for ultrahigh-speed soliton transmission systems, ultrashort flat-top pulse generation for the demultiplexing of 640 Gbit/s data in ultrahigh-speed optical communication systems, and optical computing. …”
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Multiple wavelength fringe analysis for surface profile measurements by Upputuri, Paul Kumar, Pramanik, Manojit

“…Interferometry has been widely used for surface metrology because of their precision, reliability, and versatility. …”
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Mechanical properties and deformation behaviour of early age concrete in the context of digital construction by Panda, Biranchi, Lim, Jian Hui, Tan, Ming Jen

“…Experimental investigations were carried out to measure green strength and stiffness of fresh fly ash-cement mortar with applied 3D optical metrology. The compressive green strength was linked with material yield strength evolution and later, modified with nanoclay for higher buildability properties. …”
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Opportunities for machine learning to accelerate halide-perovskite commercialization and scale-up by Kumar, Rishi E., Tiihonen, Armi, Sun, Shijing, Fenning, David P., Liu, Zhe, Buonassisi, Tonio

“…In this perspective, we review practical challenges hindering the commercialization of halide perovskites, and discuss how machine-learning (ML) tools could help: (1) active-learning algorithms that blend institutional knowledge and human expertise could help stabilize and rapidly update baseline manufacturing processes; (2) ML-powered metrology, including computer imaging, could help narrow the performance gap between large- and small-area devices; and (3) inference methods could help accelerate root-cause analysis by reconciling multiple data streams and simulations, focusing research effort on areas with highest probability for improvement. …”
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Measurement of buried undercut structures in microfluidic devices by laser fluorescent confocal microscopy by Li, Shiguang, Liu, Jing, Nguyen, Nam-Trung, Fang, Zhong Ping, Yoon, Soon Fatt

“…Measuring buried, undercut microstructures is a challenging task in metrology. These structures are usually characterized by measuring their cross sections after physically cutting the samples. …”
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