Machine Learning in Materials Science

Category: Technology, Transformation

The process of materials discovery is complex and iterative, requiring a level of expertise to be done effectively. Materials workflows that require human judgement present a specific challenge to the discovery process, which can be leveraged as an opportunity to introduce digital technologies.  In the lab, many tasks require manual data collection and judgement. And …
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FORGE-ing Ahead: Charting the Future of Geothermal Energy

Category: Technology, Transformation

A microseismic event loaded from the Frontier Observatory for Research in Geothermal Energy (FORGE) distributed acoustic sensing (DAS) data into a Jupyter notebook showing energy from a microseismic event arriving at about 7.5 seconds. These microseisms bring information about the process of stimulation. However, in the data set there are relatively few and they are …
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Giving Visibility to Renewable Energy

Category: Technology, Transformation

The EnergizAIR Infrastructure framework and key interfaces, with the Enthought responsibility on the project shown in the central, grey box. The ultimate project goal was to raise individual awareness of the contribution of renewable energy sources, and ultimately change behaviors. Now ten years later, with orders of magnitude more data, AI/machine learning, cloud, and smartphones …
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Digital Transformation in Practice

Category: Transformation

Taken from the webinar, the frequent strategy of digitalization-layering digital tools and technology onto existing processes-provides incremental value, which soon flattens out. At the other end, companies born with digital DNA (for example an Amazon) are capable of incredible innovation and adaptation. The reality is, most companies must transform to develop digital DNA. Applied digital …
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Up the ‘Digital Level’ of Your R+D Lab

Category: Transformation

Image: A key role of materials and chemistry R&D researchers is to invert the primary function of their labs – that of creating materials from chemical structures, formulations and processes – to one of determining the inputs that will produce materials with the desired properties with minimal iteration. This process can be significantly accelerated by …
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The Challenges of Scaling Digital Advances in Life Sciences

Category: Transformation

An illustration by Michelle Macroni evokes the complex web of ingredients to possibilities in life sciences through applied digital innovation in R&D.  Author: Robyn Cardwell, Ph.D., Director, Life Sciences Solutions Incremental Advances Versus Created Possibilities        Many of the improvements in life sciences R&D labs today come through introducing digital technologies to existing processes, with an …
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Digital-centric R+D Laboratories

Category: Transformation

To have a transformative impact, labs must reinvent workflows through digital technologies and skills, adopting a strong data culture. A figure from the white paper captures Level 5, where innovation through digital-centric systems confidently produces new materials that meet customer specifications orders of magnitude faster than before, enabling broader business transformation.  Authors: Chris Farrow, Ph.D., …
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SEG 2020 Attendees Asked. We Answered.

Category: News, Technology, Transformation

In an example away from seismic, this shows a thin section, where machine learning techniques can be applied across multiple images, ones previously unused due to the significant demands of expert time, and difficulties in organizing and sharing data. See a demo at: https://www.enthought.com/industries/oil-and-gas/core-analysis/ Author: Brendon Hall, Ph.D., Director, Energy Solutions   The SEG 2020 …
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