Computational analysis and digital humanities are far from neutral processes and sites unimpeded by the political, social and economic context in which they emerged and are utilized. As an interdisciplinary field, the digital humanities have transformed the relationship of humans to computers broadly conceived. At the same time, the methods, theories, perspectives and the concomitant digital tools developed are being criticized for reproducing the social divisions that exist in society. The effort to recover Black women's subjectivities from the digital minefield is not without its challenges, reflected in our study which searched approximately 800,000 books, newspapers, and articles in the HathiTrust and JSTOR Digital Libraries. The goal was to identify perceptions and lived experiences of Black women that emerged and the resulting knowledge that developed. The project team discovered multiple challenges related to the rescue and recovery of Black women's standpoints or group knowledge. This essay explores how even as computational analysis has embedded biases, it can be utilized to recover the experiences of Black women from within the digitized record. Thus, computational analysis and all that it encompasses not only makes visible Black women's experiences, but also expands the scope of the digital humanities.
Electron and x-ray diffraction are well-established experimental methods used to explore the atomic scale structure of materials. In this work, a computational algorithm is presented to produce electron and x-ray diffraction patterns directly from atomistic simulation data. This algorithm advances beyond previous virtual diffraction methods by utilizing an ultra high-resolution mesh of reciprocal space which eliminates the need for a priori knowledge of the material structure. This paper focuses on (1) algorithmic advances necessary to improve performance, memory efficiency and scalability of the virtual diffraction calculation, and (2) the integration of the diffraction algorithm into a workflow across heterogeneous computing hardware for the purposes of integrating simulations, virtual diffraction calculations and visualization of electron and x-ray diffraction patterns.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.