Abstract: Systems and methods for additive manufacturing are provided. In some embodiments, a method for additive manufacturing includes forming a portion of an additively manufactured object within a reservoir of curable material by scanning a plurality of energy beams of a plurality of energy sources through a plurality of respective scanning regions in the curable material. The scanning regions can overlap at one or more object locations, such that a combined energy dosage delivered to the one or more object locations by two or more of the energy beams is greater than or equal to a threshold dosage for solidifying the curable material. The method can further include advancing the reservoir of curable material relative to the energy sources. The forming and advancing processes can be repeated to fabricate the additively manufactured object.

Abstract: Methods and systems for generating support structures for additively manufactured objects are described herein. In some embodiments, a method includes receiving a digital representation of a dental appliance configured to implement a treatment stage of a treatment plan for a patient's teeth. The method can include generating a support structure arrangement configured to support the dental appliance during an additive manufacturing process. The support structure arrangement can be generated using a machine learning model. The machine learning model can be trained on a training data set including appliance data representing geometries of a plurality of dental appliances, support structure data representing geometries of a plurality of support structure arrangements, and outcome data representing outcomes of the additive manufacturing process for the plurality of dental appliances with the respective support structure arrangements.